The data lakehouse architecture is leading this change—particularly for machine learning (ML) and advanced analytics—by combining the strengths of both data lakes and data warehouses.

Using these insights, the team developed a machine learning model incorporating 13 predictors, achieving high accuracy in predicting gene selection across programs. The model provides a ranked ...

Machine learning is helping create stronger, more efficient encryption methods. By analyzing huge amounts of data, ML can design encryption algorithms that are tougher to crack.

Still, machine learning algorithms are not without their flaws, the researchers note. They are prone to bias, too, depending on the data they are fed and the outcomes they are optimized for.

The top databases for machine learning and AI in 2023, as per the search results, include PostgreSQL, Redis, MongoDB, Cassandra, and Amazon Aurora.

Knowledge management Natural language processing Deep learning Researchers in Big Data, AI and Machine Learning work with national and international partners, with recent projects involving JASCO, ...

Differential privacy is a method for protecting people’s privacy when their data is included in large datasets. Because differential privacy limits how much the machine learning model can depend ...

Instance selection plays a pivotal role in enhancing machine learning by identifying and retaining those data instances that are most informative for the learning process, while discarding ...

Artificial Intelligence (AI) and Machine Learning (ML) technologies are a proven way for data center operators to maximize uptime, optimize energy usage, quickly detect potential risks and defend ...